Powering Value Through Data Engineering

Luxoft is a Business Reporter client.

Placing data engineering at the core of everything can advance innovation, improve customer interaction and maximize returns on business transformation investments.

Data is everywhere. But unlocking its potential as a critical business enabler is often hampered. Dispersed, siloed and misaligned individual data solutions hinder efficient reuse and cause long implementation cycles. Meanwhile, business demands put pressure on business leaders to find faster and more economic data-engineered solutions.

Advancing data transformation

To derive insights and drive action, organizations need to constantly evaluate their data. The way to move data transformation forward is to think about business processes, interactions and transactions as information flows. This is imperative for businesses looking to modernize and unlock high volumes of historical, financial, operational and transactional data. However, to reap the rewards of that data, business leaders must have access to first-class enterprise-scale data engineering and analytics services.

Just what can be achieved with the right data engineering services? With the appropriate skills and experience, the potential exists to:

• Address present and projected use cases of optimizing operations
• Control processes automatically
• Engage more customers
• Empower employees
• Increase revenue
• Strategically address the market

Organizations that lack a high level of data-infused intelligence are unable to scale and capitalize on their analytics and AI efforts; instead, they are trapped in the realm of ad-hoc analytics, which is defined by numerous, repeated proof-of-concept exercises and pilot projects with no visible business outcomes.

Unlocking the value in your data

The mere presence of data alone does not equal value; organizations must overcome many challenges to find the potential their data holds. Faced with the data deluge, businesses often struggle with:

• Large amounts of existing data in disparate data sources, a mix of platforms and unclean data
• New internal and external data sources that continue to grow exponentially
• The need to cleanse and process data near the edge and proximate to the source

Due to the vast increase in data volumes, traditional data warehousing structures lack the necessary scalability and processing capabilities required to extract new value, even as business leaders are driven by transformation and competitiveness to improve innovation within the enterprise ecosystem and deliver greater operational efficiency.

When looking to fully capitalize on the insights contained within data, simply recruiting an army of data scientists does not equate to the effective use of analytics. As organizations frequently face the challenges of building the right architecture for data collection, storage and processing, their traditional approach to data engineering must be entirely modernized and transformed.

The heart of data extraction

Each aspect of an enterprise can be improved using data values, which can positively influence businesses and consumers and help achieve objectives. As data continues to grow, the potential for returns on data engineering investment grows with it—with possibilities spanning everything from improving how companies interact with customers to determining where best to push innovation. Those already maximizing the use of their data and leading the pack in analytics rely on specialized data engineering service providers that have the capabilities to implement the necessary infrastructure to achieve efficient data pipelines and scalable data lakes that drive effective data analytics.

With data engineering at the core, you can benefit from faster insights, lower costs, greater agility, security, ease of use and interoperability. While shaping your transformation, you’ll create efficiencies and innovation and achieve measurable benefits at every point of the business process.

Implementing data engineering services

Improve your company’s innovation and competitiveness while increasing operational efficiency—from concept to delivery, to integration and beyond—with DXC Luxoft. The heart of data extraction starts with implementing data engineering services (i.e., getting results out of data). As businesses (re)build data lakes to capture data from new areas (such as the edge), integrate with traditional MDM, enable self-service data experiences and prepare for compliance with new rules, the corporate data infrastructure has a high need to acquire highly skilled data engineering services—but with that high need comes huge potential for organizations.

To discover how DXC Luxoft has helped other Fortune 500 companies be greater with data, visit luxoft.com.

— Industry view from Lucretia Williams, Global Marketing Director, Luxoft

This article originally appeared on Business Reporter. Image credit: iStock–id926799862